Matthias Röckl
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety 3
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- Distributed Sensor Networks and Detection Algorithms 5
- Control and Systems Engineering top 10%
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- Vehicular Ad Hoc Networks (VANETs) 11
- Power Line Communications and Noise 3
- Transportation top 10%
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- Bayesian Modeling and Causal Inference 7
- Target Tracking and Data Fusion in Sensor Networks 7
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- Traffic Prediction and Management Techniques 5
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- Context-Aware Activity Recognition Systems 5
Matthias Röckl
26 papers receiving 378 citations
Peers
Comparison fields: 5 of 37
- Automotive Engineering 109
- Computer Networks and Communications 184
- Control and Systems Engineering 113
- Electrical and Electronic Engineering 281
- Transportation 30
Countries citing papers authored by Matthias Röckl
This map shows the geographic impact of Matthias Röckl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthias Röckl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Röckl more than expected).
Fields of papers citing papers by Matthias Röckl
This network shows the impact of papers produced by Matthias Röckl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthias Röckl. The network helps show where Matthias Röckl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Röckl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 38 | |
| 2 | 2011 | 2 | |
| 3 | 2010 | 2 | |
| 4 | 2010 | 22 | |
| 5 | 2010 | 12 | |
| 6 | Derivation of a fast, approximating 802.11p simulation model | 2010 | 2 |
| 7 | 2010 | 12 | |
| 8 | 2009 | 11 | |
| 9 | Using Gray codes as Location Identifiers | 2009 | 4 |
| 10 | 2008 | 2 | |
| 11 | 2008 | 16 | |
| 12 | CODAR Viewer - A Situation-Aware Driver Assistance System | 2008 | 3 |
| 13 | INTEGRATION OF CAR-2-CAR COMMUNICATION AS A VIRTUAL SENSOR IN AUTOMOTIVE SENSOR FUSION FOR ADVANCED DRIVER ASSISTANCE SYSTEMS | 2008 | 14 |
| 14 | CODAR Viewer - A V2V Communication Awareness Display | 2008 | 3 |
| 15 | 2008 | 9 | |
| 16 | Sensing the environment for future driver assistance combining autonomous and cooperative appliances | 2008 | 6 |
| 17 | 2008 | 8 | |
| 18 | 2007 | 24 | |
| 19 | Car-2-Car Communication Consortium - Manifesto | 2007 | 88 |
| 20 | 2006 | 2 |
About Matthias Röckl
Matthias Röckl is a scholar working on Artificial Intelligence, Transportation and Computer Networks and Communications, having authored 26 papers that have together received 405 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (11 papers), Bayesian Modeling and Causal Inference (7 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Traffic Prediction and Management Techniques (5 papers), Context-Aware Activity Recognition Systems (5 papers), Power Line Communications and Noise (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Automotive Engineering (109 citations), Computer Networks and Communications (184 citations) and Control and Systems Engineering (113 citations). Matthias Röckl has collaborated with scholars based in Germany, Spain and Ireland. Frequent co-authors include Thomas Strang, Patrick Robertson, Korbinian Frank, Matthias Kranz, Andreas F. Lehner, Massimiliano Lenardi, Ramon Bauza, Hans J. Vogel, Miguel Sepulcre and Andreas Festag. Their work appears in journals such as Bone, Simulation Modelling Practice and Theory and Journal of Intensive Care.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.